Proof is earned. So we build it in public.
We are onboarding a small number of early clients. They get the full managed AI Employee. In return, we document what moved and publish it as a case study, with their approval.
No fabricated logos. No invented numbers. This page fills with real deployments, real before-and-after data, and named clients who chose to take part. Until those case studies exist, it says so plainly.
Four steps from first call to live results.
Early clients are not beta testers. They get the same managed service as every paying client. The exchange is documentation, not a discounted or partial version of the work.
We scope the work together
On a short call, you walk us through the workflows your team repeats most. We pick the clearest starting point for an AI Employee and confirm the systems it connects to. A refundable deposit books the call.
First agent live in under 48 hours
We build and deploy the first workflow in draft mode first, earning autonomy through staged trust. The employee is running in your stack before the week is out. The setup is on us, not on you.
30-day onboarding closes the loops
Over the next 30 days we wire in the rest of the workflows, run review sessions, and tune until the operating model is solid. Ongoing changes are included.
We publish the results, with your approval
You get the full managed service. In return, we document what the AI Employee owned, what moved, and what the before and after looked like. You review and approve the case study before it goes anywhere.
The full managed service. Not a preview.
You get unlimited agents, unlimited usage, monitoring, support, and ongoing changes. The program exists to earn case studies, not to limit delivery.
Full managed AI Employee
The exact service paying clients receive. Unlimited agents, monitoring, support, and ongoing changes. The repetitive work moves off your most expensive people, and what they do with the hours that come back is the bigger return. Nothing held back.
First agent live in under 48 hours
The first workflow is live in draft mode before the week ends, with staged trust earning it full autonomy. No long setup phase to sit through before the work starts.
A case study on your terms
We document what the AI Employee did and what changed. You approve every word before anything is published. If a detail is not comfortable, it does not appear.
Named partner priority
Your firm gets named in the published results, building public credibility you can point to. You choose exactly how you are identified.
An AI Employee is judged on business outcomes.
These are the categories the case studies will report on, and they lead with the bottom line: margin kept, revenue moved, expensive human hours reclaimed and redeployed. They are not claimed results. They are what we track from day one, so the before-and-after reads clearly when the study is written.
- Margin reclaimed
- Human labor is the most expensive line in most businesses. We measure the cost of the repetitive work the AI Employee takes off your team, so you can see what stops leaking out as overhead and stays in the business as margin.
- Revenue moved
- The volume and speed of deals, engagements, or orders moving through the pipeline. The AI Employee is not the only variable, but its effect on how fast revenue clears the pipeline is trackable from your own system logs.
- Capacity redeployed
- Once the follow-ups, intake flows, and coordination tasks finish on their own, we track how many of those open items used to stall, and where your team spends the hours that come back. That capacity moves to the judgment, relationships, and expertise no AI can replicate.
- Record quality
- CRM (Customer Relationship Management) entries, case notes, and pipeline records that stay complete and current instead of sparse and stale. Cleaner records lower the cost of every human decision that follows, and a wrong decision is more expensive than the records that prevent it.
A small number of spots. No queue.
A small program keeps delivery quality high. This is not a large-scale beta. Every client gets direct attention from the people doing the work.
If the conversation goes well, we move fast. The first agent is live in under 48 hours, in draft mode first. The call is the start of scoping, not a sales pitch.
If the program is full when you reach out, you will hear that on the call, and we will be straight about the timeline.
Early access
Take an early spot on the call.
Tell us your industry and the workflows your team carries. We scope the AI Employee for the job and tell you straight whether it fits. Join the waitlist and we reach out as spots open.